If the variables x resembles same as variable Y, then the covariance between the two variables reduces to:
a. the covariance of either variables
b. the correlation of either variables
c. the standard deviation of either variables
d. the variance of either variables
e. the expected value of either variables
We know that generally covariance of the two variable "X" and "Y" lies between [-1, 1]
"|Cov(X,Y)| \\leq \\sqrt{V_{ar}(X)V_{ar}(Y)}"
But we know that "V_{ar}(X)=V_{ar}(Y)"
Hence, we can conclude that
"|Cov(X,Y)|\\leq Var(X)"
so d is the correct answer.
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